Zhenchen Liu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Zhenchen Liu has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Anan Xu
Institute of Unmanned System, Beihang University, Beijing 100191, China
2 shared publications - Fang Wang
Institute of Unmanned System, Beihang University, Beijing 100191, China
2 shared publications - Chunmei Shangguan
Institute of Unmanned System, Bei Hang University, Beijing 100191, China
1 shared publication - Chunmei Shangguan
Institute of Unmanned Systems, Beihang University, Beijing 100010, China
1 shared publication - Fuyuan Ma
School of Electronics and Information Engineering, Beihang University, Beijing 100191, China
1 shared publication - Jiao Jia
School of Aviation, Bei Hang University, Beijing 100191, China
1 shared publication
Latest Publications
- Open Access
Measurement-in-the-Loop Reinforcement Learning for Regional UAV Communication Enhancement
This paper investigates a measurement-driven rotary-wing unmanned aerial vehicle (UAV)-enabled wireless communication system serving multiple ground users. Unlike conventional studies relying on simplified theoretical channel models, we derive the air-to-ground (A2G) path loss and shadow-fading models from software-defined radio (SDR) channel measurements at 3.3 GHz. To maximize the minimum average user rate, we formulate a joint optimization of three-dimensional (3D) trajectory, velocity, transmit power, and bandwidth, subject to quality-of-service (QoS) and UAV kinematic constraints. Owing to the strong coupling and non-convexity, we reformulate it as a constrained Markov decision process (CMDP) with a continuous-action space and solve it via proximal policy optimization (PPO), where a constraint-preserving action parameterization enforces power, bandwidth, and motion constraints by construction. Simulations over real digital-elevation-model terrain show that the proposed approach attains 95.7% of a search-based rate reference at and surpasses an offline AO/SCA benchmark in max–min rate at all user densities, with 100% QoS satisfaction at , near-zero constraint violations, and – ms online inference per decision.Open AccessMeasurement-in-the-Loop Reinforcement Learning for Regional UAV Communication Enhancement
This paper investigates a measurement-driven rotary-wing unmanned aerial vehicle (UAV)-enabled wireless communication system serving multiple ground users. Unlike conventional studies relying on simplified theoretical channel models, we derive the air-to-ground (A2G) path loss and shadow-fading models from software-defined radio (SDR) channel measurements at 3.3 GHz. To maximize the minimum average user rate, we formulate a joint optimization of three-dimensional (3D) trajectory, velocity, transmit power, and bandwidth, subject to quality-of-service (QoS) and UAV kinematic constraints. Owing to the strong coupling and non-convexity, we reformulate it as a constrained Markov decision process (CMDP) with a continuous-action space and solve it via proximal policy optimization (PPO), where a constraint-preserving action parameterization enforces power, bandwidth, and motion constraints by construction. Simulations over real digital-elevation-model terrain show that the proposed approach attains 95.7% of a search-based rate reference at and surpasses an offline AO/SCA benchmark in max–min rate at all user densities, with 100% QoS satisfaction at , near-zero constraint violations, and – ms online inference per decision. - Open Access
- 4 September 2026
- Published by MDPI AG in Applied Sciences
- Vol. 16 (17) , 8794
Analysis and Optimization of Hanging Stability of Heavy-Duty Coaxial Unmanned Helicopter
This study examines the hovering and forward-flight stability of a heavy-lift coaxial unmanned helicopter with a suspended payload. A six-degree-of-freedom dynamics model is developed, coupling the rotor, fuselage, and a rigid-body sling via a universal joint, while neglecting rotor–payload aerodynamic interference for sling lengths exceeding eight rotor diameters. Trim calculations for hover and steady forward flight are compared with F-500 flight data, showing better agreement for the longitudinal trim quantities than for the lateral quantities. Stability analysis using static derivatives and eigenvalue decomposition reveals that the suspension system degrades airspeed stability but has little effect on angle-of-attack stability. At the reference flight condition, the Dutch-roll eigenvalues have a positive real part, indicating an unstable lateral-directional oscillation. Parametric studies indicate that increasing forward speed worsens the longitudinal phugoid mode, whereas heavier payloads enhance damping in both longitudinal and lateral-directional modes. Enlarging the payload’s cross-sectional area improves non-oscillatory mode stability but barely affects lateral dynamics. These findings provide theoretical guidance for design and safe operation, highlighting the importance of speed regulation and payload configuration optimization to enhance flight safety.
- 4 September 2026
- Published by MDPI AG in Applied Sciences
- Vol. 16 (17) , 8794
Open AccessAnalysis and Optimization of Hanging Stability of Heavy-Duty Coaxial Unmanned Helicopter
This study examines the hovering and forward-flight stability of a heavy-lift coaxial unmanned helicopter with a suspended payload. A six-degree-of-freedom dynamics model is developed, coupling the rotor, fuselage, and a rigid-body sling via a universal joint, while neglecting rotor–payload aerodynamic interference for sling lengths exceeding eight rotor diameters. Trim calculations for hover and steady forward flight are compared with F-500 flight data, showing better agreement for the longitudinal trim quantities than for the lateral quantities. Stability analysis using static derivatives and eigenvalue decomposition reveals that the suspension system degrades airspeed stability but has little effect on angle-of-attack stability. At the reference flight condition, the Dutch-roll eigenvalues have a positive real part, indicating an unstable lateral-directional oscillation. Parametric studies indicate that increasing forward speed worsens the longitudinal phugoid mode, whereas heavier payloads enhance damping in both longitudinal and lateral-directional modes. Enlarging the payload’s cross-sectional area improves non-oscillatory mode stability but barely affects lateral dynamics. These findings provide theoretical guidance for design and safe operation, highlighting the importance of speed regulation and payload configuration optimization to enhance flight safety.
- Open Access
Hierarchically Structured V2O5/PANI Heterostructures for Room-Temperature Ammonia Sensing
Ammonia, a toxic and volatile pollutant commonly found in chemical industrial environments, requires reliable real-time detection to ensure industrial safety and effective environmental monitoring. Conventional gas sensors typically operate at elevated temperatures, resulting in high power consumption. Moreover, pure metal oxides and conductive polymers often suffer from significant aggregation and exhibit suboptimal sensing performance under ambient conditions, limiting their practical applications. In this study, hierarchical porous V2O5/PANI composites were synthesized via a straightforward one-step coprecipitation method combined with in situ polymerization. The interlaced architecture of polyaniline (PANI) and vanadium pentoxide (V2O5) effectively reduces structural aggregation and increases the availability of surface active sites. Furthermore, the synergistic interaction at the bi-phase interface significantly enhances charge carrier transport, leading to improved ammonia-sensing capabilities at room temperature. Notably, the composite containing 20% V2O5 demonstrated superior response, selectivity, and reproducibility toward 10 ppm NH3. Due to its simple fabrication process and room-temperature operation without external heating, the developed V2O5/PANI composite sensor holds significant potential for practical applications in low-concentration ammonia detection under ambient conditions.
Open AccessHierarchically Structured V2O5/PANI Heterostructures for Room-Temperature Ammonia Sensing
Ammonia, a toxic and volatile pollutant commonly found in chemical industrial environments, requires reliable real-time detection to ensure industrial safety and effective environmental monitoring. Conventional gas sensors typically operate at elevated temperatures, resulting in high power consumption. Moreover, pure metal oxides and conductive polymers often suffer from significant aggregation and exhibit suboptimal sensing performance under ambient conditions, limiting their practical applications. In this study, hierarchical porous V2O5/PANI composites were synthesized via a straightforward one-step coprecipitation method combined with in situ polymerization. The interlaced architecture of polyaniline (PANI) and vanadium pentoxide (V2O5) effectively reduces structural aggregation and increases the availability of surface active sites. Furthermore, the synergistic interaction at the bi-phase interface significantly enhances charge carrier transport, leading to improved ammonia-sensing capabilities at room temperature. Notably, the composite containing 20% V2O5 demonstrated superior response, selectivity, and reproducibility toward 10 ppm NH3. Due to its simple fabrication process and room-temperature operation without external heating, the developed V2O5/PANI composite sensor holds significant potential for practical applications in low-concentration ammonia detection under ambient conditions.